Risk Factors for Heart Failure with Preserved or Reduced Ejection Fraction Among Medicare Beneficiaries: Application of Competing Risks Analysis and Gradient Boosted Model

被引:19
作者
Lee, Moa P. [1 ,2 ,3 ]
Glynn, Robert J. [1 ,2 ]
Schneeweiss, Sebastian [1 ,2 ]
Lin, Kueiyu Joshua [1 ,2 ,4 ]
Patorno, Elisabetta [1 ,2 ]
Barberio, Julie [1 ,2 ]
Levin, Raisa [1 ,2 ]
Evers, Thomas [5 ]
Wang, Shirley, V [1 ,2 ]
Desai, Rishi J. [1 ,2 ]
机构
[1] Brigham & Womens Hosp, Div Pharmacoepidemiol & Pharmacoecon, 1620 Tremont St, Boston, MA 02120 USA
[2] Harvard Med Sch, 1620 Tremont St, Boston, MA 02120 USA
[3] Univ N Carolina, Dept Epidemiol, Chapel Hill, NC 27515 USA
[4] Massachusetts Gen Hosp, Dept Med, Boston, MA 02114 USA
[5] Bayer AG, Wuppertal, Germany
来源
CLINICAL EPIDEMIOLOGY | 2020年 / 12卷
关键词
heart failure; epidemiology; risk factors; LVEF; HEpEF; HFrEF; competing risks; GBM; EPIDEMIOLOGY; METAANALYSIS; PREVALENCE; REGRESSION; THERAPIES; SURVIVAL; OUTCOMES; TRENDS;
D O I
10.2147/CLEP.S253612
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: The differential impact of various demographic characteristics and comorbid conditions on development of heart failure (HF) with preserved (pEF) and reduced ejection fraction (rEF) is not well studied among the elderly. Methods: Using Medicare claims data linked to electronic health records, we conducted an observational cohort study of individuals >= 65 years of age without HF. A Cox proportional hazards model accounting for competing risk of HFrEF and HFpEF incidence was constructed. A gradient-boosted model (GBM) assessed the relative influence (RI) of each predictor in the development of HFrEF and HFpEF. Results: Among 138,388 included individuals, 9701 developed HF (incidence rate = 20.9 per 1000 person-years). Males were more likely to develop HFrEF than HFpEF (HR = 2.07, 95% CI: 1.81-2.37 vs. 1.11, 95% CI: 1.02-1.20, P for heterogeneity <0.01). Atrial fibrillation and pulmonary hypertension had stronger associations with the risk of HFpEF (HR = 2.02, 95% CI: 1.80-2.26 and 1.66, 95% CI: 1.23-2.22) while cardiomyopathy and myocardial infarction were more strongly associated with HFrEF (HR = 4.37, 95% CI: 3.21-5.97 and 1.94, 95% CI: 1.23-3.07). Age was the strongest predictor across all HF subtypes with RI from GBM >35%. Atrial fibrillation was the most influential comorbidity for the development of HFpEF (RI = 8.4%) while cardiomyopathy was the most influential comorbidity for the development of HFrEF (RI = 20.7%). Conclusion: These findings of heterogeneous relationships between several important risk factors and heart failure types underline the potential differences in the etiology of HFpEF and HFrEF.
引用
收藏
页码:607 / 616
页数:10
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